Data Annotation Specialist - Onsite, AI/ML Data Prep

Collectors Holdings, Inc.; Santa Ana (CA); Hybrid; USD 72,000 - 76,000; Full time

Benefits offered by this job

Health Insurance

401(K) Matching Plan

Vacation

Holiday Pay

Employee Discounts

Flexible Hours

Fun Working Environment

Job summary

Collectors Holdings, Inc. is hiring a Data Annotation Specialist to support our AI/ML team in Santa Ana, CA. This full-time, onsite role will involve labeling large datasets with precision using our internal tools and established guidelines.

You will contribute to high-quality training data for machine learning models and collaborate across teams to ensure consistency and accuracy. Primary responsibilities include preparing data, performing QA checks, and communicating project requirements.

Qualifications

• Strong attention to detail and accuracy for large datasets.
• Experience with data labeling and QA processes.
• Familiarity with common data formats: CSV, JSON, XML.

Responsibilities

• Prepare and annotate large volumes of data with precision, efficiency, and within project timelines.
• Collaborate with team members to ensure data is labeled consistently and accurately according to defined guidelines.
• Perform quality control checks to maintain high levels of annotation accuracy.
• Communicate effectively with stakeholders to understand project requirements and labeling specifications.
• Continuously improve annotation workflows to increase efficiency and reduce errors.

Skills

Attention to detail

Data labeling

CSV

JSON

XML

QA experience

Team collaboration

Tools

Annotation tools

Internal labeling software

Job description

Collectors Holdings, Inc. is hiring a Data Annotation Specialist to support our AI/ML team in Santa Ana, CA. This full-time, onsite role will involve labeling large datasets with precision using our internal tools and established guidelines.

You will contribute to high-quality training data for machine learning models and collaborate across teams to ensure consistency and accuracy. Primary responsibilities include preparing data, performing QA checks, and communicating project requirements.